Decision making in realistic settings is often risk-sensitive.
It is becoming increasingly common for learning-based CPS to share an environment with human users [1]}, [2]}, [3]}.
In such a situation, it will become important for the system to be aware of risk-sensitive and irrational behaviors of users.
Due to various cognitive and emotional biases, human users can exhibit both risk-seeking and risk-averse behaviors.
In these cases, expected utility-based frameworks are not adequate to describe human decision making, since humans might have a different perception of both, the utility and the probabilistic outcome as a consequence of their decisions [4]}.
